1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
|
/*=========================================================================
*
* Copyright Insight Software Consortium
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0.txt
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
*=========================================================================*/
#include <iostream>
#include "itkDiscreteGaussianImageFilter.h"
#include "itkNullImageToImageFilterDriver.hxx"
#include "itkFilterWatcher.h"
int itkDiscreteGaussianImageFilterTest(int , char * [] )
{
try
{
const unsigned int Dimension = 3;
typedef itk::Image<float, Dimension> ImageType;
// Set up filter
typedef itk::DiscreteGaussianImageFilter<ImageType, ImageType> FilterType;
typedef FilterType::ArrayType ArrayType;
FilterType::Pointer filter = FilterType::New();
FilterWatcher watcher( filter );
// Test other set/get functions
ArrayType array;
array[0] = 0.05;
array[1] = 0.06;
array[2] = 0.07;
filter->SetMaximumError( array );
array.Fill( 0.04 );
filter->SetMaximumError( array.GetDataPointer() );
// set some parameters
filter->SetVariance( 1.0 );
filter->SetMaximumError( .01 );
filter->SetMaximumKernelWidth( 32 );
filter->SetFilterDimensionality( Dimension );
filter->SetUseImageSpacing( true );
// Test some functions
ArrayType varReturned = filter->GetVariance();
for ( unsigned int i = 0; i < Dimension; ++i )
{
if ( varReturned[ i ] != 1.0 )
{
std::cout << "GetVariance()[" << i << "] failed. Expected: "
<< 1.0
<< " but got: "
<< varReturned[ i ] << std::endl;
return EXIT_FAILURE;
}
}
ArrayType maxErrorReturned = filter->GetMaximumError();
for ( unsigned int i = 0; i < Dimension; ++i )
{
if ( itk::Math::NotAlmostEquals(maxErrorReturned[ i ], 0.01) )
{
std::cout << "GetMaximumError()[" << i << "] failed. Expected: "
<< 0.01
<< " but got: "
<< maxErrorReturned[ i ] << std::endl;
return EXIT_FAILURE;
}
}
if ( filter->GetMaximumKernelWidth() != 32 )
{
std::cout << "GetMaximumKernelWidth failed. Expected: "
<< 32
<< " but got: "
<< filter->GetMaximumKernelWidth() << std::endl;
return EXIT_FAILURE;
}
if ( filter->GetFilterDimensionality() != Dimension )
{
std::cout << "GetFilterDimensionality failed. Expected: "
<< Dimension
<< " but got: "
<< filter->GetFilterDimensionality() << std::endl;
return EXIT_FAILURE;
}
if ( filter->GetUseImageSpacing() != true )
{
std::cout << "GetUseImageSpacing failed. Expected: "
<< true
<< " but got: "
<< filter->GetUseImageSpacing() << std::endl;
return EXIT_FAILURE;
}
// Run Test
itk::Size<3> sz;
sz[0] = 100; //atoi(argv[1]);
sz[1] = 100; // atoi(argv[2]);
sz[2] = 40;
itk::NullImageToImageFilterDriver< ImageType, ImageType > test1;
test1.SetImageSize(sz);
test1.SetFilter(filter.GetPointer());
test1.Execute();
}
catch(itk::ExceptionObject &err)
{
(&err)->Print(std::cerr);
return EXIT_FAILURE;
}
return EXIT_SUCCESS;
}
|
